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gpt7B_domar_sum

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metadata
license: other
library_name: peft
tags:
  - generated_from_trainer
base_model: AI-Sweden-Models/gpt-sw3-6.7b
model-index:
  - name: gpt7B_domar_sum
    results: []

gpt7B_domar_sum

This model is a fine-tuned version of AI-Sweden-Models/gpt-sw3-6.7b on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7338

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
0.7244 1.99 500 0.7355
0.641 3.97 1000 0.7338

Framework versions

  • PEFT 0.8.2
  • Transformers 4.38.1
  • Pytorch 2.2.0+cu118
  • Datasets 2.17.1
  • Tokenizers 0.15.2